Speakers
Alfonso Álamo
Trends of Numerical Analysis in Industry
Adérito Araújo (Universidade de Coimbra)
Discontinuous Galerkin method on curved boundary domains
Sergio Blanes (Universidad Politécnica de Valencia)
Splitting methods with complex coefficients to the numerical integration of quantum systems
M.P. Calvo (Universidad de Valladolid)
Taylor-Fourier integrators
Begoña Cano (Universidad de Valladolid)
How to avoid order reduction when explicit Runge-Kutta exponential methods integrate nonlinear initial boundary value problems
Cédric M. Campos (Universidad Rey Juan Carlos)
Advances in optimization in non-Euclidean spaces: NAG-like methods on SO(3) and S2
Fernando Casas (Universidad Jaume I)
Splitting methods with complex coefficients
Ángel Durán (Universidad de Valladolid)
Numerical solution of the fractional nonlinear Schrödinger equation
Javier de Frutos (Universidad de Valladolid)
On Discrete-Time Approximation to Infinite Horizon Differential Games
Bosco García-Archilla (Universidad de Sevilla)
Robust error bounds for finite-element methods applied to the Navier-Stokes equations
Cesáreo J. González (Universidad de Valladolid)
Magnus-type integrators for linear and nonlinear parabolic partial differential equations
Lorenzo Nagar(Basque Center for Applied Mathematics)
Problem-specific Multistage Splitting Integration Schemes for Hybrid/Hamiltonian Monte Carlo with Applications
Ander Murua (Universidad del País Vasco UPV/EHU)
Strang splitting with processing for perturbed harmonic oscillators
Ana M. Portillo (Universidad de Valladolid)
Mathematical models to study human follicular aging: influence of telomerase activity and initial distribution
Luke Shaw (Universidad Jaume I)
A New Optimality Property of Strang’s Splitting
Fernando Vadillo (Universidad del País Vasco UPV/EHU)
Persistence-time and calibration for Stochastic Differential Models
Beibei Zhu (University of Science and Technology Beijing)
Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems
Konstantinos Zygalakis (University of Edinburgh)
Differential Equations, discrete approximations, and connections to optimization and sampling algorithms